Programming expert systems in OPS5: an introduction to rule-based programming
Programming expert systems in OPS5: an introduction to rule-based programming
Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Monitoring XML data on the Web
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
An Event-Based Architecture Definition Language
IEEE Transactions on Software Engineering
Efficient Filtering of XML Documents for Selective Dissemination of Information
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Dynamic Querying of Streaming Data with the dQUOB System
IEEE Transactions on Parallel and Distributed Systems
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Cooperating Services for Data-Driven Computational Experimentation
Computing in Science and Engineering
The 8 requirements of real-time stream processing
ACM SIGMOD Record
Calder Query Grid Service: Insights and Experimental Evaluation
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
ADaM: a data mining toolkit for scientists and engineers
Computers & Geosciences
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
A Data Management Framework for Urgent Geoscience Workflows
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Streamflow Programming Model for Data Streaming in Scientific Workflows
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Ontology-driven complex event processing in heterogeneous sensor networks
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Efficient deadlock avoidance for streaming computation with filtering
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
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The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger application. Data stream processing systems are beginning to emerge in the commercial space, but these systems fail to address the needs of large-scale scientific applications. In this paper we illustrate the unique needs of large-scale data driven computational science through an example taken from weather prediction and forecasting. We apply a realistic workload from this application against our Calder stream processing system to determine effective throughput, event processing latency, data access scalability, and deployment latency.1